Scroll to initialize the sidecar threat radar.
Modular AI sidecar operating alongside legacy Enterprise Fraud Management (EFM) systems (Feedzai, Featurespace, Tookitaki). Engineered to stop APP scams, deepfakes, and mule networks using Agentic AI + Specialist-in-the-Loop workflows.
Scroll to scrub through an illustrative attack sequence showing how the sidecar is designed to halt fraud at every stage.
Victim lured into remote access session via WhatsApp/AnyDesk with active scammer coercion during bank transfer initiation.
[SDK_BIOMETRICS]: Typing cadence anomaly detected (stress ratio: 0.89) [SDK_SESSION]: Active screen-share app detected: 'AnyDesk.exe' [STATUS]: PRE_SUBMISSION_INTERCEPT_TRIGGERED
On-device AI model analyzes voice frequency spectrum and facial artifacts during step-up biometric prompt.
[EDGE_AI]: Multimodal audio spectrum evaluated in 8.4ms [EDGE_AI]: Synthetic audio artifact probability: 0.94 (Cloned) [ACTION]: CHALLENGE_WITH_STEPUP_STEP2
Multi-agent GenAI orchestrator aggregates device logs, CRM context, and ledger state into an auto-drafted STR narrative.
[OPSCOPILOT]: 4 DataSource logs unified in 2.8 sec [OPSCOPILOT]: STR draft generated: 'MAS_SRF_APP_SCAM_FORM_1' [STATUS]: DRAFT_SAVED_FOR_SPECIALIST_SIGN_OFF
Zero-Knowledge Proof query verifies destination account against cross-institutional mule graph without leaking PII.
[TRUSTGRAPH]: ZKP cryptographic proof query dispatched [TRUSTGRAPH]: Destination account matches High-Risk Mule Cluster [FINAL_ACTION]: PAYLOAD_TRANSACTION_BLOCKED (0 PII Exposed)
Target performance and simulated telemetry for APP scams, deepfakes, and mule transfers. Figures are design goals under beta validation, not production results.
Design goals · subject to beta validation
Operates as a high-performance sidecar middleware alongside Feedzai, Featurespace, and Tookitaki. It ingests raw telemetry over sub-millisecond Kafka streams and returns an enriched pre-transaction risk payload.
{
"transaction_id": "tx_2026_948271",
"account_id": "acc_sg_8829102",
"pre_transaction_risk": {
"behavioral_biometric_stress_score": 0.89,
"coercion_flag": true,
"screen_share_active": true,
"deepfake_audio_probability": 0.02
},
"trustgraph_zkp_result": {
"destination_mule_cluster_risk": "HIGH",
"zkp_proof_verified": true
},
"opscopilot_recommendation": {
"suggested_action": "CHALLENGE_WITH_STEPUP",
"str_auto_draft_status": "READY_FOR_SPECIALIST_REVIEW"
}
}Fraud Prevention is in beta. Waitlisted institutions are onboarded in cohorts as each milestone is reached. Sequence is indicative; dates are not yet committed.
Collecting waitlist interest and shortlisting banks and financial institutions for sidecar design-partner pilots.
Sidecar deployed in shadow mode beside an existing EFM stack: observe-only scoring, no impact on live decisions.
Specialist-in-the-Loop case assembly and regulatory filing drafts for sign-off, rolled out to waitlisted institutions in cohorts.
Production sidecar with audited decision lineage, subject to beta exit criteria. Scope and timing may change.
Now in beta. Join the waitlist for early access to BITSTRIC AI Sidecar Middleware, built to run beside your production EFM rules without disrupting them.